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OPINION article

Front. Digit. Health
Sec. Digital Health Communication
Volume 6 - 2024 | doi: 10.3389/fdgth.2024.1330160
This article is part of the Research Topic Reliable AI and Imaging Methods View all 5 articles

Accelerating Health Disparities Research with Artificial Intelligence

B. Lee Green B. Lee Green 1Anastasia Murphy Anastasia Murphy 1*Edmondo Robinson Edmondo Robinson 2
  • 1 Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, United States
  • 2 Center For Digital Health, Moffitt Cancer Center, Tampa, Florida, United States

The final, formatted version of the article will be published soon.

    Keywords: Health Disparities, artificial intelligence, machine learning, Equity, Bias

    Received: 03 Nov 2023; Accepted: 10 Jan 2024.

    Copyright: © 2024 Green, Murphy and Robinson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Anastasia Murphy, Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, 33612, Florida, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.